MORFES: A Benchmark for Productive Inflectional Competence in Modern Greek
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Computer Science > Computation and Language
Title:MORFES: A Benchmark for Productive Inflectional Competence in Modern Greek
Abstract:Modern Greek is a richly inflected language, yet the language models built for it are evaluated mainly on factual knowledge, and no benchmark is dedicated to their inflectional competence. We introduce MORFES (Morphological Open-class Recognition-and-Formation Evaluation Suite), a benchmark of 500 expert-verified items that tests the recognition and production of Greek inflected forms, favoring lower-frequency lemmas so that a correct answer reflects the rule rather than a memorized form. We make it publicly available at this https URL. We evaluate a range of open language models on MORFES, situating them within the rapidly scaling open-weight ecosystem from LLaMA to Qwen3, DeepSeek-R1, Magistral, and Kimi K2, where multilingual coverage grows but grammatical competence in morphologically rich languages remains under-measured. Among them, Sophea-Genesis-1, a model we developed and release as open weights at this https URL, leads on inflectional morphology while matching similarly sized models in general capability.
| Comments: | 12 pages, 8 tables |
| Subjects: | Computation and Language (cs.CL); Machine Learning (cs.LG) |
| ACM classes: | I.2.7 |
| Cite as: | arXiv:2607.28274 [cs.CL] |
| (or arXiv:2607.28274v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2607.28274
arXiv-issued DOI via DataCite (pending registration)
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